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Harness the power of AI with innovative, real-world applications, and unprecedented productivity boosts, powered by the latest advancements in AI technology like ChatGPT and OpenAI
Purchase of the print or Kindle book includes a free PDF eBook
Key Features:
Explore the theory behind generative AI models and the road to GPT3 and GPT4Become familiar with ChatGPT’s applications to boost everyday productivityLearn to embed OpenAI models into applications using lightweight frameworks like LangChain
Book Description:
Generative AI models and AI language models are becoming increasingly popular due to their unparalleled capabilities. This book will provide you with insights into the inner workings of the LLMs and guide you through creating your own language models. You’ll start with an introduction to the field of generative AI, helping you understand how these models are trained to generate new data.
Next, you’ll explore use cases where ChatGPT can boost productivity and enhance creativity. You’ll learn how to get the best from your ChatGPT interactions by improving your prompt design and leveraging zero, one, and few-shots learning capabilities. The use cases are divided into clusters of marketers, researchers, and developers, which will help you apply what you learn in this book to your own challenges faster.
You’ll also discover enterprise-level scenarios that leverage OpenAI models’ APIs available on Azure infrastructure; both generative models like GPT-3 and embedding models like Ada. For each scenario, you’ll find an end-to-end implementation with Python, using Streamlit as the frontend and the LangChain SDK to facilitate models’ integration into your applications.
By the end of this book, you’ll be well equipped to use the generative AI field and start using ChatGPT and OpenAI models’ APIs in your own projects.
What You Will Learn:
Understand generative AI concepts from basic to intermediate levelFocus on the GPT architecture for generative AI modelsMaximize ChatGPT’s value with an effective prompt designExplore applications and use cases of ChatGPTUse OpenAI models and features via API callsBuild and deploy generative AI systems with PythonLeverage Azure infrastructure for enterprise-level use casesEnsure responsible AI and ethics in generative AI systems
Who this book is for:
This book is for individuals interested in boosting their daily productivity; businesspersons looking to dive deeper into real-world applications to empower their organizations; data scientists and developers trying to identify ways to boost ML models and code; marketers and researchers seeking to leverage use cases in their domain – all by using Chat GPT and OpenAI Models.
A basic understanding of Python is required; however, the book provides theoretical descriptions alongside sections with code so that the reader can learn the concrete use case application without running the scripts.
From the Publisher
There’s a big emphasis on learning more about the history and the foundations of generative AI in this book — why do you think this is important?
Generative AI technologies have undergone unprecedented developments in the last few months, and we’re witnessing a paradigm shift with Large Language Models (LLMs) such as GPT-series. This is why it is pivotal to keep up with the pace of innovation and master those new models, which can now be used without training on curated and labelled data, but rather adapted to various tasks depending on user’s intent.
With LLMs, both consumers and large enterprises can unlock new horizons of productivity, creativity, and efficiency.
This has ushered in a whole new concept of software and application development, where LLMs are integrated into the architecture, empowering copilots – smart, scoped agents – to interact with data, apps, and systems using natural language. Staying informed about these developments is crucial for harnessing the potential of generative AI.
How can this book help you get a clear picture of generative AI’s true potential beyond the market hype?
The book consists of three main parts:
Part 1: theoretical foundations behind the generative AI modelsPart 2: the impact of generative AI in the three domains of developers, marketers, and researchersPart 3: the impact of generative AI in enterprises
The idea is that, by understanding the architectural fundamentals behind Artificial Neural Networks and, more specifically, the generative pre-trained transformers (GPT) models, readers will easily see the full range of applications that are covered in Part 2. Plus, with Part 3, readers will also get familiar with enterprise use cases and the impact generative AI will have — and in some cases is already having – on industries.
This book can help readers go beyond the market hype by providing theoretical foundations and exploring what’s under the hood of tools like ChatGPT, with concrete examples of real-world applications.
This book spans various industries and roles, from marketers to developers. What essential skills will readers gain based on their backgrounds?
The key takeaways are the foundations behind generative AI models and more familiarity with the range of possibilities they are unlocking. By showcasing concrete applications for marketers, researchers, developers, or even large enterprises, readers can take inspiration and experiment based on the examples provided. From personal productivity to enterprise-scale projects, by the end of this book, the reader will have the tools to understand where and how generative AI models can improve processes and applications. They will also be able to embed generative AI models within custom applications using Python and LangChain, which is paving the way for a new era of software development.
How is this book different from other AI books that may be trying to accomplish similar goals?
Generative AI is a hybrid domain, an intersection of science, art, and creativity. This book combines technical and business aspects in such a way that it can be appreciated by a heterogeneous audience so that each reader can gather what is most interesting to them about generative AI. The theoretical introduction and the code-driven examples can be appreciated by business readers since they are always paired with real-world examples and scenarios. On the other hand, technical users will benefit from concrete examples of how to use generative AI models within their applications or to enhance the way they develop.
Overall, this book is the perfect starting point if you want not only to start getting familiar with the exciting world of generative AI but also to start enhancing your business and gain first-hand experience with those powerful models.
Publisher : Packt Publishing (May 31, 2023)
Language : English
Paperback : 286 pages
ISBN-10 : 1805123335
ISBN-13 : 978-1805123330
Item Weight : 1.1 pounds
Dimensions : 9.25 x 7.52 x 0.6 inches
